Intelligent support of logistics missions in medical institutions by mobile service robots AMUR-307

Valentin E. Pryanichnikov
Doctor of Technical Science, Keldysh Institute of Applied Mathematics, Leading Research Scientist, 4, Miusskaya pl., Moscow, 125047, Russia; Russian State University for the Humanities, The International Institute for New Educational Technologies Implements, Head of the Sensory and Control Systems Department, Head of the Laboratory «Intelligent Robotronics», 6, Miusskaya pl., GSP-3, Moscow, 125993, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Egor A. Shipovalov
Keldysh Institute of Applied Mathematics, Postgraduate Student, 4, Miusskaya pl., Moscow, 125047, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Radomir B. Tarasov
Keldysh Institute of Applied Mathematics, Postgraduate Student, 4, Miusskaya pl., Moscow, 125047, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Received 20 October 2020

Abstract
Technologies of missions’ generation for the mobile robots (MR) Amur-307 by the parallelized automatic scheduler and their implementation by the integration software (SW) with the hardware block (HB) on 6 power channels (6x30A), with the branched sensorics are considered. The program generator is forming the tasks in the PDDL language based on the route map in vector graphic format, parameters of objects moved by robots, and equipment installed on robots. The developed plan is implemented by the HB and the navigation control program, based on topological information extracted from the map, based on passive oriented visual markers installed in the walls. The robot can work both in real and in virtual environments, using the Webots emulator and/or relying on its own original developments.

Key words
Service mobile robot, automatic mission planner, hardware and software control system Amur-307.

DOI
https://doi.org/10.31776/RTCJ.9206

Bibliographic description
Pryanichnikov, V., Shipovalov, E. and Tarasov, R., 2021. Intelligent support of logistics missions in medical institutions by mobile service robots AMUR-307. Robotics and Technical Cybernetics, 9(2), pp.121-126.

UDC identifier:
007.52:681.51

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